Thanh Huy Nguyen

Orcid: 0000-0003-2471-350X

Affiliations:
  • IMT Atlantique, France (PhD 2020)
  • Université Laval, Department of Geomatics, Canada


According to our database1, Thanh Huy Nguyen authored at least 11 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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Article 
PhD thesis 
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Links

Online presence:

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Bibliography

2024
Gaussian Anamorphosis for Ensemble Kalman Filter Analysis of SAR-Derived Wet Surface Ratio Observations.
IEEE Trans. Geosci. Remote. Sens., 2024

2023
The SCO-Flooddam Project: Towards A Digital Twin for Flood Detection, Prediction and Flood Risk Assessments.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Dealing with Non-Gaussianity of SAR-Derived Wet Surface Ratio for Flood Extent Representation Improvement.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Reducing Uncertainties of a Chained Hydrologic-Hydraulic Models to Improve Flood Forecasting Using Multi-Source Earth Observation Data.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

2022
Improvement of Flood Extent Representation With Remote Sensing Data and Data Assimilation.
IEEE Trans. Geosci. Remote. Sens., 2022

2021
The Sco-Flooddam Project: New Observing Strategies for Flood Detection, Alert and Rapid Mapping.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

2020
A versatile and efficient data fusion methodology for heterogeneous airborne LiDAR and optical imagery data acquired under unconstrained conditions. (Une méthodologie versatile et efficace de fusion de données aéroportées hétérogènes issues de capteurs LiDAR et d'imagerie optique acquises sous des conditions non-contraintes).
PhD thesis, 2020

Coarse-to-Fine Registration of Airborne LiDAR Data and Optical Imagery on Urban Scenes.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020

Super-Resolution-Based Snake Model - An Unsupervised Method for Large-Scale Building Extraction Using Airborne LiDAR Data and Optical Image.
Remote. Sens., 2020

2019
Unsupervised Automatic Building Extraction Using Active Contour Model on Unregistered Optical Imagery and Airborne LiDAR Data.
CoRR, 2019

Robust Building-Based Registration of Airborne Lidar Data and Optical Imagery on Urban Scenes.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019


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